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Metric Details for Natural-language Spatial Relations by Max J. Egenhofer; A. Rashid B. M. Shariff is a Computer Science article available to read on EtoBox.

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Spatial relations often are desired answers that a geographic information system (GIS) should generate in response to a user's query. Current GIS's provide only rudimentary support for processing and interpreting natural-language-like spatial relations, because their models and representations are primarily quantitative, while natural-language spatial relations are usually dominated by qualitative properties. Studies of the use of spatial relations in natural language showed that topology accounts for a significant portion of the geometric properties. This article develops a formal model that captures __metric details__ for the description of natural-language spatial relations. The metric details are expressed as refinements of the categories identified by the 9-intersection, a model for topological spatial relations, and provide a more precise measure than does topology alone as to whether a geometric configuration matches with a spatial term or not. Similarly, these measures help in identifying the spatial term that describes a particular configuration. Two groups of metric details are derived: __splitting ratios__ as the normalized values of lengths and areas of intersections; a

Who reads Metric Details for Natural-language Spatial Relations?

Author

Max J. Egenhofer; A. Rashid B. M. Shariff

Publisher

ACM

Published

1998

Language

EN

Field

Computer Science (Physical Sciences)